Lichun Yang

659 total citations
24 papers, 197 citations indexed

About

Lichun Yang is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Lichun Yang has authored 24 papers receiving a total of 197 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Radiology, Nuclear Medicine and Imaging, 6 papers in Molecular Biology and 6 papers in Pathology and Forensic Medicine. Recurrent topics in Lichun Yang's work include Genetic factors in colorectal cancer (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and MRI in cancer diagnosis (3 papers). Lichun Yang is often cited by papers focused on Genetic factors in colorectal cancer (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and MRI in cancer diagnosis (3 papers). Lichun Yang collaborates with scholars based in China, United States and Hong Kong. Lichun Yang's co-authors include Yosuke Ejima, Maria Li Lung, Way Kwok‐Wai Lau, Paulisally Hau Yi Lo, Gopesh Srivastava, Eric J. Stanbridge, Josephine Mun Yee Ko, Johnny Tang, Hongjiang Zhang and Yang Cao and has published in prestigious journals such as SHILAP Revista de lepidopterología, Oncogene and International Journal of Cancer.

In The Last Decade

Lichun Yang

19 papers receiving 193 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Lichun Yang China 9 90 57 54 41 36 24 197
Xin Wen China 11 131 1.5× 14 0.2× 81 1.5× 56 1.4× 55 1.5× 34 301
Junjie Li China 10 68 0.8× 24 0.4× 98 1.8× 38 0.9× 99 2.8× 28 234
Michele L. Lenoue-Newton United States 7 119 1.3× 21 0.4× 62 1.1× 17 0.4× 52 1.4× 18 200
Nadina Ortiz‐Brüchle Germany 7 75 0.8× 11 0.2× 17 0.3× 20 0.5× 20 0.6× 10 156
Shujie Song China 12 256 2.8× 87 1.5× 62 1.1× 13 0.3× 67 1.9× 28 371
A. M. Moorman Netherlands 5 31 0.3× 68 1.2× 98 1.8× 41 1.0× 80 2.2× 7 177
Stephanie Akbari United States 6 26 0.3× 64 1.1× 134 2.5× 41 1.0× 71 2.0× 12 185
C.F.J.M. Blanken-Peeters Netherlands 8 43 0.5× 71 1.2× 178 3.3× 51 1.2× 166 4.6× 12 297
Jeff Marks United States 6 60 0.7× 9 0.2× 49 0.9× 24 0.6× 44 1.2× 8 133
Amy M.B. McCorry United Kingdom 6 57 0.6× 66 1.2× 57 1.1× 14 0.3× 134 3.7× 7 192

Countries citing papers authored by Lichun Yang

Since Specialization
Citations

This map shows the geographic impact of Lichun Yang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Lichun Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lichun Yang more than expected).

Fields of papers citing papers by Lichun Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lichun Yang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Lichun Yang. The network helps show where Lichun Yang may publish in the future.

Co-authorship network of co-authors of Lichun Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Lichun Yang. A scholar is included among the top collaborators of Lichun Yang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Lichun Yang. Lichun Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Yang, Lichun, et al.. (2025). Connected for a greener tomorrow: How supply chain digitalization enhances corporate green innovation?. International Review of Economics & Finance. 105. 104846–104846.
2.
Yang, Lichun, et al.. (2025). Will ESG disclosure affect the green innovation level of SMEs?. Finance research letters. 83. 107656–107656. 2 indexed citations
3.
Chen, Yijie, Lichun Yang, Yan Cheng, et al.. (2024). A Prospective Multicenter Study on the Additive Value of Contrast-Enhanced Ultrasound for Biopsy Decision of Ultrasound BI-RADS 4 Breast Lesions. Ultrasound in Medicine & Biology. 50(8). 1224–1231.
4.
Shu, Yan, et al.. (2024). Prevalence and Risk Factors of Hyperuricemia Among Young and Middle-Aged Tibetan Men Living at Ultrahigh Altitudes: A Cross-Sectional Study. High Altitude Medicine & Biology. 25(1). 42–48. 3 indexed citations
5.
Liu, Jiewei, Wenjie Liu, Ying Chang, et al.. (2024). Development and validation of a novel vault prediction formula based on structural parameters of the anterior and posterior chambers. BMC Ophthalmology. 24(1). 349–349.
6.
Liu, Wenjie, et al.. (2023). Analysis of Inter-Eye Vault Differences After Implantable Collamer Lens (V4c) Implantation. International Journal of General Medicine. Volume 16. 2451–2459.
7.
Li, Ning, Chao Song, Xian Huang, et al.. (2023). Optimized Radiomics Nomogram Based on Automated Breast Ultrasound System: A Potential Tool for Preoperative Prediction of Metastatic Lymph Node Burden in Breast Cancer. Breast Cancer Targets and Therapy. Volume 15. 121–132. 10 indexed citations
8.
Liu, Wenjie, Lichun Yang, & Jiewei Liu. (2022). The Impact of Posterior Corneal Astigmatism on Surgically Induced Astigmatism in Cataract Surgery. International Journal of General Medicine. Volume 15. 8417–8425. 3 indexed citations
9.
10.
Li, Ning, et al.. (2020). <p>Nomogram Including Elastography for Prediction of Contralateral Central Lymph Node Metastasis in Solitary Papillary Thyroid Carcinoma Preoperatively</p>. Cancer Management and Research. Volume 12. 10789–10797. 11 indexed citations
11.
Chen, Yijie, Zhaoming Zhong, Qin Chen, et al.. (2019). <p>A multicenter study of a contrast-enhanced ultrasound diagnostic classification of breast lesions</p>. Cancer Management and Research. Volume 11. 2163–2170. 11 indexed citations
12.
Chen, Yijie, Zhaoming Zhong, Jun Luo, et al.. (2019). Factors influencing the performance of a diagnostic model including contrast-enhanced ultrasound in 1023 breast lesions: comparison with histopathology. Annals of Translational Medicine. 7(22). 647–647. 12 indexed citations
13.
Yang, Lichun, et al.. (2018). UAV′s online route planning algorithm based on improved artificial potential field. SHILAP Revista de lepidopterología. 1 indexed citations
14.
Yang, Lichun, et al.. (2015). Cosmetic Scents by Visual and Olfactory Senses versus Purchase Intention. International Journal of Market Research. 57(1). 125–144. 4 indexed citations
15.
Yang, Lichun, et al.. (2013). Postmenopausal Bleeding Related to Omental-Uterine Varices in a Patient With Cirrhosis. Journal of Minimally Invasive Gynecology. 20(2). 151–152.
16.
Wang, Bochu, Yang Cao, Lichun Yang, & Yazhou Wang. (2011). Rheological properties of PLGA‐PEG‐PLGA copolymers for ophthalmic injection. Journal of Applied Polymer Science. 125(1). 370–375. 10 indexed citations
17.
Zhang, Huiping, et al.. (2004). Preparation of activated carbon from sawdust by phosphoric acid activation. Linchan huaxue yu gongye. 24(4). 49–52. 2 indexed citations
18.
Yang, Lichun, Josephine Mun Yee Ko, Paulisally Hau Yi Lo, et al.. (2004). Tumor suppressive role of a 2.4 Mb 9q33–q34 critical region and DEC1 in esophageal squamous cell carcinoma. Oncogene. 24(4). 697–705. 34 indexed citations
19.
Yang, Lichun, et al.. (2003). Frequent loss of heterozygosity on chromosome 9 in Chinese esophageal squamous cell carcinomas. Cancer Letters. 203(1). 71–77. 19 indexed citations
20.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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